Retention models, for understanding and predicting
Pavel JanderaAbstract Theoretical, empirical and semi-empirical retention models characterizing the effects of various operation parameters such as stationary phase, mobile phase composition, temperature, and programmed elution conditions on the retention in reversed-phase chromatography are reviewed. Special attention is focused on the possibilities of applications for prediction of retention, method development and optimization. Models correlating sample structure and retention are discussed. Theoretical and practical limitations of the models and importance of accurate data acquisition in the application are emphasized. Special topics such as behavior of ionic compounds in reversed-phase LC, selectivity adjusting using ternary mobile phase, or dual retention behavior on a single column depending on the mobile phase are also addressed.
LevelSpecialist
What and for whom?
This is an education oriented review of the various developed models for retention with the purpose of helping the academic readers with already a good basic background. The purpose of the work is to review simple models practically useful for prediction (estimate) of the effects of sample structure and of working parameters on retention, with attention to theoretical and experimental limitations. Hence, practical aspects are more emphasized than the rigorous theory. I think that the reading may be useful for advanced master and PhD students of analytical separations and possibly could be of some use as reference work for practitioners developing HPLC methods. Pavel Jandera.
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